Software Engineering Manager, Compilers, MTIA

As a Software Engineering Manager in the MTIA Software team, you will lead the development of LLVM compiler infrastructure and early software development platforms like simulators, which will be used by the whole software team to accelerate Meta's AI workloads on custom accelerators. Your work on LLVM compiler infrastructure directly influences ISA design and hardware/software co-design decisions. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. This program is a key AI infrastructure initiative, and the the team values deep technical contributions with extensive knowledge sharing.Software Engineering Manager, Compilers, MTIA Responsibilities:Drive development of the LLVM compiler toolchain and early software development platforms, including cycle-accurate and functional simulators. You will lead teams of engineers and technical leaders delivering large-scale projects across compiler infrastructure and simulator developmentStay technically engaged, contributing hands-on through AI tools to evaluate the technical direction and quality across your teamBuild and mentor engineers into AI-era leaders while maintaining high engineering craft standardsForm trusted cross-functional partnerships across software, hardware, and model teams while actively shaping strategy and roadmapsDrive AI adoption across teams to expand delivery capacity, improve engineering workflows, and maintain technical engagement with system architecture and code qualityMinimum Qualifications:5+ years of experience managing a software engineering teamExperience with compiler architecture and development, particularly ML compilers or domain-specific languages (DSLs)Proven understanding and experience in executing full product life cycles (prototyping, deployment, and support)Experience managing engineering teams, including experience in managing other engineering leaders or technical leadsPreferred Qualifications:Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI acceleratorsExperience with LLVM compiler infrastructure and MLIRExperience with RISC-V architecture and custom ISA toolingExperience in hardware-software development environments such as simulators and emulatorsExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Knowledge of ML frameworks like PyTorchDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesTrack record of driving AI-native engineering practices within an engineering organization, including integrating AI tools into development and review workflowsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$219,000/year to $301,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.